A Graph Convolutional Network for Session Recommendation Model Based on Improved Transformer

Graph convolutional networks are widely used for session-based recommendation (SBR) of products, aimed at solving anonymous sequence recommendation problems. However, currently almost all SBR models only focus on the current session, ignoring item transitions in other sessions. The paper introduces...

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Detalles Bibliográficos

Autores principales:	Xiaoyan Zhang, Teng Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2023-01-01
Colección:	IEEE Access
Materias:	Recommendation system session-based recommendation graph convolutional network transformer
Acceso en línea:	https://ieeexplore.ieee.org/document/10194940/
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